audit trails
audit trails on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on audit trails in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around audit trails, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

NTT DATA AIVista and Snowflake: Identity alone won’t secure enterprise AI agents
Recent VentureBeat research highlights a critical vulnerability: 69% of enterprises allow AI agents to share credentials, increasing security risks. NTT DATA AIVista CTO Mukesh Karki and Snowflake’s Mayank Upadhyay, presenting at VB Transform 2026, argue that securing AI agents demands more than just identity management. Enterprises require action-level authorization and tamper-resistant audit trails—essential for regulatory compliance and scalable, safe deployment of autonomous systems. Discover what’s next for AI, from the SaaS reckoning to the agent security gap, at TechCrunch Disrupt 2026.
![We compared different LLMs on IMO 2026 [R]](https://preview.redd.it/fy4ayale5nfh1.png?width=140&height=73&auto=webp&s=473d0bc0475a2513ba0bb7106f245288abfeef5f)
We compared different LLMs on IMO 2026 [R]
SignalPilot Labs rigorously evaluated leading LLMs against the 2026 International Mathematical Olympiad (IMO), a challenging benchmark reflecting general intelligence. Frontier models like Sol and Fable achieved near-perfect scores, while others benefited significantly from advanced harness engineering, including our AutoFyn system. Notably, even optimized harnesses didn't match frontier performance. Our findings, detailed in a comprehensive report, highlight persistent hallucination issues, exemplified by a recurring failure on a critical problem reduction.